How to integrate Linkedin Ads MCP with Mastra AI

This guide walks you through connecting Linkedin Ads to Mastra AI using the Composio tool router. By the end, you'll have a working Linkedin Ads agent that can list active campaigns with daily spend, compare ad performance by campaign objective, create report for sponsored content clicks through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Linkedin Ads account through Composio's Linkedin Ads MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Get started for free Get a demo

Linkedin Ads

Oauth2

Linkedin Ads is LinkedIn's marketing platform for creating, managing, and measuring paid campaigns across LinkedIn. It helps teams reach professional audiences with precise targeting, campaign analytics, and sponsored content tools.

28 Tools

Managed auth

Connect Linkedin Ads without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

Try for free

Introduction

This guide will help you understand how to give your Mastra AI agent real control over a Linkedin Ads account through Composio's Linkedin Ads MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Linkedin Ads with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Set up your environment so Mastra, OpenAI, and Composio work together
Create a Tool Router session in Composio that exposes Linkedin Ads tools
Connect Mastra's MCP client to the Composio generated MCP URL
Fetch Linkedin Ads tool definitions and attach them as a toolset
Build a Mastra agent that can reason, call tools, and return structured results
Run an interactive CLI where you can chat with your Linkedin Ads agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

MCP Client: Built-in support for Model Context Protocol servers
Toolsets: Organize tools into logical groups
Step Callbacks: Monitor and debug agent execution
OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

What is the Linkedin Ads MCP server, and what's possible with it?

The Linkedin Ads MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Linkedin Ads account. It provides structured and secure access to your ad accounts, campaign groups, creatives, targeting data, lead forms, and organization content, so your agent can search ad accounts, inspect campaigns, create lead forms, review targeting options, and forecast ad inventory on your behalf.

Ad account discovery and creation: Have your agent search existing ad accounts by status or type, retrieve account details, or create a new ad account.
Campaign and creative review: Let the agent retrieve campaign group details and search your LinkedIn Ads creatives using available filters.
Audience targeting and forecasting: Direct your agent to explore targeting options such as industries, locations, seniorities, job functions, and skills, then check ad inventory forecasts for your planned audience, budget, and bid.
Lead forms and conversion tracking: Instruct your agent to create or retrieve lead generation forms and list the conversion rules connected to an ad account.
Organization content and audience data: Have your agent find LinkedIn organizations, review posting permissions, list organization posts, and inspect available audience segments.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS

Prerequisites

Before starting, make sure you have:

Node.js 18 or higher
A Composio account with an active API key
An OpenAI API key
Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key.
You need credits or a connected billing setup to use the models.
Store the key somewhere safe.

Composio API Key

Log in to the Composio dashboard.
Go to Settings and copy your API key.
This key lets your Mastra agent talk to Composio and reach Linkedin Ads through MCP.

Install dependencies

bash

npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

@composio/core is the Composio SDK for creating MCP sessions
@mastra/core provides the Agent class
@mastra/mcp is Mastra's MCP client
@ai-sdk/openai is the model wrapper for OpenAI
dotenv loads environment variables from .env

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your requests to Composio
COMPOSIO_USER_ID tells Composio which user this session belongs to
OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});

What's happening:

dotenv/config auto loads your .env so process.env.* is available
openai gives you a Mastra compatible model wrapper
Agent is the Mastra agent that will call tools and produce answers
MCPClient connects Mastra to your Composio MCP server
Composio is used to create a Tool Router session

Create a Tool Router session for Linkedin Ads

typescript

async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["linkedin_ads"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Linkedin Ads MCP URL:", composioMCPUrl);

What's happening:

create spins up a short-lived MCP HTTP endpoint for this user
The toolkits array contains "linkedin_ads" for Linkedin Ads access
session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript

const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);

What's happening:

MCPClient takes an id for this client and a list of MCP servers
The headers property includes the x-api-key for authentication
getTools fetches the tool definitions exposed by the Linkedin Ads toolkit

Create the Mastra agent

typescript

const agent = new Agent({
    name: "linkedin_ads-mastra-agent",
    instructions: "You are an AI agent with Linkedin Ads tools via Composio.",
    model: "openai/gpt-5",
  });

What's happening:

Agent is the core Mastra agent
name is just an identifier for logging and debugging
instructions guide the agent to use tools instead of only answering in natural language
model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript

let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        linkedin_ads: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

What's happening:

messages keeps the full conversation history in Mastra's expected format
agent.generate runs the agent with conversation history and Linkedin Ads toolsets
maxSteps limits how many tool calls the agent can take in a single run
onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Linkedin Ads and Mastra AI:

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["linkedin_ads"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      linkedin_ads: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "linkedin_ads-mastra-agent",
    instructions: "You are an AI agent with Linkedin Ads tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { linkedin_ads: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Linkedin Ads through Composio's Tool Router. You can extend this further by:

Adding other toolkits like Gmail, Slack, or GitHub
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows

TOOLS

Supported Tools

Every Linkedin Ads action and event your agent gets out of the box.

Create Ad Account

Tool to create a new LinkedIn ad account for campaign management.

Create Lead Form

Tool to create a new LinkedIn lead generation form for ads.

Get Ad Account

Tool to retrieve a specific LinkedIn Ad Account by ID.

Get Ad Analytics

Tool to retrieve LinkedIn ad analytics and reporting metrics for campaigns, creatives, and accounts.

Get Audience Counts

Get estimated audience size for given targeting criteria on LinkedIn Ads.

Get Campaign Group

Tool to retrieve a specific LinkedIn Ads campaign group by ID.

Get lead form by ID

Tool to retrieve a specific LinkedIn lead form by its ID.

Get organization follower count

Tool to retrieve follower count for a LinkedIn organization.

Get organization access control list

Tool to retrieve organization access control list showing who has admin or poster rights for organizations.

Get organization page statistics

Tool to retrieve page view and click statistics for a LinkedIn organization page.

Get organization follower statistics

Tool to retrieve follower growth statistics for a LinkedIn organization.

Get organization share statistics

Tool to retrieve share and engagement statistics for an organization's content on LinkedIn.

Get Ad Supply Forecasts

Retrieve supply forecasts for LinkedIn ad inventory based on targeting criteria, budget, and bid settings.

Get Targeting Entities

Tool to retrieve targeting entities for LinkedIn Ads campaigns.

Get Targeting Facets

Tool to retrieve available ad targeting facets including industries, locations, seniorities, job functions, skills, and more.

List Conversion Rules

Tool to list all conversion rules for a LinkedIn ad account.

List DMP Segments

Tool to list DMP (Data Management Platform) segments for LinkedIn ad accounts.

List Lead Forms

Tool to list LinkedIn lead forms for an organization or by specific IDs.

List Organizations

Tool to search and list LinkedIn organizations by IDs, vanity name, or parent organization.

List LinkedIn posts

Tool to list LinkedIn posts by author or retrieve multiple posts by IDs.

Lookup organizations

Tool to batch lookup organization details by IDs without requiring admin access.

Tool to register an upload for media assets (images, videos) on LinkedIn.

Search Ad Accounts

Tool to search for LinkedIn ad accounts with filtering by status, type, and test mode.

Search Campaigns

Tool to search and list campaigns in a LinkedIn Ads account with filtering options.

Search LinkedIn Ads Creatives

Tool to search and list LinkedIn Ads creatives with filtering options.

Search Events

Tool to search and list LinkedIn events by organizer with filtering options.

Update lead form

Tool to update an existing LinkedIn lead form.

Update organization access control

Tool to update organization access control for a user on LinkedIn.

FRAMEWORKS

How to build Linkedin Ads MCP Agent with another framework

OpenAI Agents SDK

Use Linkedin Ads MCP with OpenAI Agents SDK

Claude Agent SDK

Use Linkedin Ads MCP with Claude Agent SDK

Claude Code

Use Linkedin Ads MCP with Claude Code

Claude Cowork

Use Linkedin Ads MCP with Claude Cowork

Codex

Use Linkedin Ads MCP with Codex

OpenClaw

Use Linkedin Ads MCP with OpenClaw

Hermes

Use Linkedin Ads MCP with Hermes

CLI

Use Linkedin Ads MCP with CLI

Google ADK

Use Linkedin Ads MCP with Google ADK

LangChain

Use Linkedin Ads MCP with LangChain

Vercel AI SDK

Use Linkedin Ads MCP with Vercel AI SDK

LlamaIndex

Use Linkedin Ads MCP with LlamaIndex

CrewAI

Use Linkedin Ads MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Adtraction

Api Key

Adtraction is an affiliate marketing platform for partner programs, tracking links, transactions, commissions, statistics, and payments. It helps advertisers and publishers manage performance marketing with clear reporting and payout workflows.

Bulk Email Checker

Api Key

Bulk Email Checker is an email verification service for checking address validity, mailbox status, domains, and mail-server signals. It helps reduce bounces, spot risky emails, and keep outreach lists cleaner before you send.

Campaign cleaner

Api Key

Campaign cleaner is an email campaign optimization tool that boosts compatibility and deliverability across email clients. It helps marketers get better results by cleaning, enhancing, and ensuring high performance for every campaign.

Deadline funnel

Api Key

Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers.

FAQ

Frequently asked questions

With a standalone Linkedin Ads MCP server, the agents and LLMs can only access a fixed set of Linkedin Ads tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Linkedin Ads and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Linkedin Ads tools.

Yes, absolutely. You can configure which Linkedin Ads scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Linkedin Ads data and credentials are handled as safely as possible.

Start with Linkedin Ads.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Linkedin Ads tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Linkedin Ads MCP with Mastra AI

Connect Linkedin Ads without auth hassles

Introduction

Also integrate Linkedin Ads with

TL;DR

What is Mastra AI?

What is the Linkedin Ads MCP server, and what's possible with it?

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import libraries and validate environment

Create a Tool Router session for Linkedin Ads

Configure Mastra MCP client and fetch tools

Create the Mastra agent

Set up interactive chat interface

Complete Code

Conclusion

Supported Tools

How to build Linkedin Ads MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

LlamaIndex

CrewAI

Explore Other Toolkits

Adtraction

Bulk Email Checker

Campaign cleaner

Deadline funnel

Frequently asked questions

What are the differences in Tool Router MCP and Linkedin Ads MCP?+

Can I use Tool Router MCP with Mastra AI?+

Can I manage the permissions and scopes for Linkedin Ads while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Linkedin Ads.It takes 30 seconds.

Teams ship real agents on Composio